Bhārata Strata · Maharashtra · Jalna · morphological twins

Places like cell 4790000284

The MH-36 locality cells most similar to this Jalna cell across terrain, built form, land cover, climate dynamics and connectivity — ranked by a GUM-confidence-weighted (R24) distance, with the temporal block down-weighted. Each twin is a real cell with its own witnessed dossier.

Twins found

across 2 distinct districts

Index confidence

0.92

GUM mean confidence of the anchor (R24)

Dimensions compared

morphology-v2 feature dimensions

Closest twin distance

0.102

lower = more alike (weighted)

The twins, closest first

#1 · Jalnacell 4790000283

distance 0.102

#2 · Jalnacell 4790000402

distance 0.117

#3 · Jalnacell 4790000340

distance 0.117

#4 · Jalnacell 4790000471

distance 0.118

#5 · Jalnacell 4790001024

distance 0.125

#6 · Beedcell 4700008812

distance 0.137 · cross-district

#7 · Jalnacell 4790000951

distance 0.142

#8 · Jalnacell 4790000541

distance 0.145

#9 · Jalnacell 4790001460

distance 0.146

#10 · Jalnacell 4790000188

distance 0.147

#11 · Jalnacell 4790001773

distance 0.148

#12 · Jalnacell 4790000472

distance 0.151

#13 · Jalnacell 4790000470

distance 0.155

#14 · Jalnacell 4790001541

distance 0.155

#15 · Jalnacell 4790001613

distance 0.16

#16 · Jalnacell 4790001246

distance 0.16

#17 · Jalnacell 4790000057

distance 0.16

#18 · Jalnacell 4790000152

distance 0.16

witness: find_twins — morphology-twin-index-v2 (R24, GUM-confidence-weighted, magnitude-aware, temporal block down-weighted). Distance is the weighted feature distance; lower is more alike. Cross-district twins are the discriminative signal.

Re-witness these twins

curl -s https://api.gridrock.ai/mcp -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_twins",
       "arguments":{"admin_code":479,"cluster_id":4790000284}}}'

Machine-readable JSON twin →Full dossier →

Scope: the live MH-36 cube. Twins are computed from the sha-verified morphology-v2 vector; the engine supplies no goodness/suitability ranking — only morphological similarity.